The Mathematical Theory Of Information


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The Mathematical Theory of Communication


The Mathematical Theory of Communication

Author: Claude E Shannon

language: en

Publisher: University of Illinois Press

Release Date: 1998-09-01


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Scientific knowledge grows at a phenomenal pace--but few books have had as lasting an impact or played as important a role in our modern world as The Mathematical Theory of Communication, published originally as a paper on communication theory more than fifty years ago. Republished in book form shortly thereafter, it has since gone through four hardcover and sixteen paperback printings. It is a revolutionary work, astounding in its foresight and contemporaneity. The University of Illinois Press is pleased and honored to issue this commemorative reprinting of a classic.

Mathematical Foundations of Information Theory


Mathematical Foundations of Information Theory

Author: Aleksandr I︠A︡kovlevich Khinchin

language: en

Publisher: Courier Corporation

Release Date: 1957


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One day Tim arrives home to discover that his parents have gone away. He joins a ship as cabin boy and visits many seaside ports in search of them. Only as a result of being shipwrecked is he finally reunited with his parents.

An Introduction to Single-User Information Theory


An Introduction to Single-User Information Theory

Author: Fady Alajaji

language: en

Publisher: Springer

Release Date: 2018-04-24


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This book presents a succinct and mathematically rigorous treatment of the main pillars of Shannon’s information theory, discussing the fundamental concepts and indispensable results of Shannon’s mathematical theory of communications. It includes five meticulously written core chapters (with accompanying problems), emphasizing the key topics of information measures; lossless and lossy data compression; channel coding; and joint source-channel coding for single-user (point-to-point) communications systems. It also features two appendices covering necessary background material in real analysis and in probability theory and stochastic processes. The book is ideal for a one-semester foundational course on information theory for senior undergraduate and entry-level graduate students in mathematics, statistics, engineering, and computing and information sciences. A comprehensive instructor’s solutions manual is available.